{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T18:02:07Z","timestamp":1775584927598,"version":"3.50.1"},"reference-count":34,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,5,5]],"date-time":"2025-05-05T00:00:00Z","timestamp":1746403200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,5,5]],"date-time":"2025-05-05T00:00:00Z","timestamp":1746403200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,5,5]]},"DOI":"10.1109\/cscwd64889.2025.11033593","type":"proceedings-article","created":{"date-parts":[[2025,6,23]],"date-time":"2025-06-23T17:24:40Z","timestamp":1750699480000},"page":"292-297","source":"Crossref","is-referenced-by-count":1,"title":["Semi-Structured Interview System Based on Fine-Tuned Large Language Model and Reinforcement Learning from Human Feedback"],"prefix":"10.1109","author":[{"given":"Yanni","family":"Ma","sequence":"first","affiliation":[{"name":"School of Software Technology, Zhejiang University,Ningbo,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Software Technology, Zhejiang University,Ningbo,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rong","family":"Zhao","sequence":"additional","affiliation":[{"name":"Shaanxi Fast Auto Drive Refco Group Ltd,Xi&#x0027;an,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shaolong","family":"Chai","sequence":"additional","affiliation":[{"name":"School of Software Technology, Zhejiang University,Ningbo,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wang","family":"Ying","sequence":"additional","affiliation":[{"name":"School of Software Technology, Zhejiang University,Ningbo,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cheng","family":"Yao","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Zhejiang University,Hangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/9781119171386.ch19"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/245129.245134"},{"key":"ref3","article-title":"Bounding the capabilities of large language models in open text generation with prompt constraints","volume":"abs\/2302.09185","author":"Lu","year":"2023","journal-title":"ArXiv"},{"key":"ref4","article-title":"Research on au-tonomous driving decision-making strategies based deep reinforcement learning","author":"Wang","year":"2024","journal-title":"arXiv preprint arXiv"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.33168\/jliss.2023.0309"},{"key":"ref6","article-title":"Inverse reward design","volume":"30","author":"Hadfield-Menell","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref7","article-title":"Training a helpful and harmless assistant with reinforcement learning from human feedback","author":"Bai","year":"2022","journal-title":"arXiv preprint arXiv"},{"key":"ref8","first-page":"27730","article-title":"Training language models to follow instructions with human feedback","volume":"35","author":"Ouyang","year":"2022","journal-title":"Advances in neural information processing systems"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.118926"},{"key":"ref10","volume-title":"Interactively learning preference constraints in linear bandits","author":"Lindner","year":"2022"},{"issue":"02","key":"ref11","first-page":"18","article-title":"Reinforcement learning-based approaches for improving safety and trust in robot-to-robot and human-robot interaction","volume":"16","author":"Abouelyazid","year":"2024","journal-title":"Advances in Urban Resilience and Sustainable City Design"},{"issue":"1","key":"ref12","first-page":"22","article-title":"Semi-structured interview: A methodological reflection on the development of a qualitative research instrument in educational studies","volume":"12","author":"Ruslin","year":"2022","journal-title":"IOSR Journal of Research & Method in Education (IOSR-JRME)"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1177\/10497323221130832"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1515\/9783111086484-010"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3633637.3633648"},{"key":"ref16","article-title":"Eveval: A comprehensive evaluation of event semantics for large language models","author":"Tao","year":"2023","journal-title":"arXiv preprint arXiv"},{"issue":"3","key":"ref17","first-page":"8","article-title":"Advancing emotional analysis with large language models","volume":"4","author":"Yang","year":"2024","journal-title":"Journal of Computer Science and Software Applications"},{"key":"ref18","article-title":"A multitask, multilingual, multimodal evaluation of chatgpt on reasoning, hallucination, and interactivity. arxiv","author":"Bang","year":"2023","journal-title":"arXiv preprint arXiv"},{"key":"ref19","article-title":"Improving large language model fine-tuning for solving math problems","author":"Liu","year":"2023","journal-title":"arXiv preprint arXiv"},{"key":"ref20","article-title":"Fine-tuning large language models for adaptive machine translation","author":"Moslem","year":"2023","journal-title":"arXiv preprint arXiv"},{"key":"ref21","article-title":"Reinforcement learning from human text feedback: Learning a reward model from human text input","volume-title":"ICML 2024 Workshop on Models of Human Feedback for AI Alignment","author":"Urcelay","year":"2024"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i7.16749"},{"key":"ref23","volume-title":"Qwen2 technical report","author":"Yang","year":"2024"},{"key":"ref24","article-title":"Lisa: Layerwise importance sampling for memory-efficient large language model fine-tuning","author":"Pan","year":"2024","journal-title":"arXiv preprint arXiv"},{"key":"ref25","first-page":"173","article-title":"Deep speech 2: End-to-end speech recognition in english and mandarin","volume-title":"International conference on machine learning","author":"Amodei","year":"2016"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8461368"},{"key":"ref27","first-page":"2410","article-title":"Efficient neural audio synthesis","volume-title":"International Conference on Ma-chine Learning","author":"Kalchbrenner","year":"2018"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1017\/S1351324916000334"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.11231"},{"key":"ref30","first-page":"337","article-title":"Using large language models to simulate multiple humans and replicate human subject studies","volume-title":"International Conference on Machine Learning","author":"Aher","year":"2023"},{"key":"ref31","first-page":"3917","article-title":"Likert scale","volume-title":"Encyclopedia of quality of life and well-being research","author":"Robinson","year":"2024"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1108\/eb026526"},{"key":"ref33","first-page":"1188","article-title":"Distributed representations of sentences and documents","volume-title":"International conference on machine learning","author":"Le","year":"2014"},{"key":"ref35","article-title":"Chatglm: A family of large language models from glm-130b to glm-4 all tools","author":"GLM","year":"2024","journal-title":"arXiv preprint arXiv"}],"event":{"name":"2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","location":"Compiegne, France","start":{"date-parts":[[2025,5,5]]},"end":{"date-parts":[[2025,5,7]]}},"container-title":["2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11033175\/11033221\/11033593.pdf?arnumber=11033593","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T06:18:49Z","timestamp":1750745929000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11033593\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,5]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/cscwd64889.2025.11033593","relation":{},"subject":[],"published":{"date-parts":[[2025,5,5]]}}}